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AbstractDataSource instance.
AbstractTestSetProducer instance.
AbstractTrainAndTestSetProducer instance.
AbstractTrainingSetProducer instance.
BatchAssociationRulesEvent
acceptGraph method here.
Associator instance.
AttributeSummarizer instance.
BatchAssociationRulesEvent instance.
BatchClassifierEvent instance.
BatchClassifierEvent instance.
BatchClustererEvent instance.
BeanConnection instance.
BeanInstance instance.
BeanInstance instance given the fully qualified
name of the bean
BoundaryPanel instance.
BoundaryPanelDistributed instance.
BoundaryVisualizer instance.
ChartEvent instance.
ChartEvent instance.
weka.classifiers.Sourcable interface.weka.filters.Sourcable interface.Task
Classifier instance.
Clusterer instance.
CNode instance.
CNode instance.
Aggregate
Alternate
Annotation
Anova
AnovaRow
AntecedentSequence
AnyDistribution
Application
Apply
JAXBElement<Object>}
JAXBElement<ArrayType>}
ArrayType
AssociationModel
AssociationRule
Attribute
BaseCumHazardTables
Baseline
BaselineCell
BaselineModel
BaselineStratum
BayesInput
BayesInputs
BayesOutput
BinarySimilarity
BoundaryValueMeans
BoundaryValues
CategoricalPredictor
Categories
Category
Characteristic
Characteristics
Chebychev
ChildParent
CityBlock
ClassLabels
Cluster
ClusteringField
ClusteringModel
ClusteringModelQuality
Coefficient
Coefficients
ComparisonMeasure
Comparisons
CompoundPredicate
CompoundRule
Con1
ConfusionMatrix
ConsequentSequence
Constant
Constraints
ContStats
CorrelationFields
CorrelationMethods
Correlations
CorrelationValues
Counts
JAXBElement<COUNTTABLETYPE>}
COUNTTABLETYPE
Covariances
CovariateList
DataDictionary
DataField
Decision
Decisions
DecisionTree
DefineFunction
Delimiter
DerivedField
Discretize
DiscretizeBin
DiscrStats
DocumentTermMatrix
Euclidean
EventValues
ExponentialSmoothing
Extension
FactorList
False
FieldColumnPair
FieldRef
FieldValue
FieldValueCount
GaussianDistribution
GeneralRegressionModel
Header
JAXBElement<List<Integer>>}
InlineTable
InstanceField
InstanceFields
JAXBElement<List<Integer>>}
Interval
INTSparseArray
Item
ItemRef
Itemset
Jaccard
KNNInput
KNNInputs
KohonenMap
Level
LiftData
LiftGraph
LinearKernelType
LinearNorm
LocalTransformations
MapValues
MatCell
Matrix
MiningBuildTask
MiningField
MiningModel
MiningSchema
Minkowski
MissingValueWeights
ModelExplanation
ModelLiftGraph
ModelStats
ModelVerification
MultivariateStat
MultivariateStats
NaiveBayesModel
NearestNeighborModel
NeuralInput
NeuralInputs
NeuralLayer
NeuralNetwork
NeuralOutput
NeuralOutputs
Neuron
Node
JAXBElement<COUNTTABLETYPE>}
NormContinuous
NormDiscrete
NumericInfo
NumericPredictor
OptimumLiftGraph
Output
OutputField
PairCounts
Parameter
ParameterField
ParameterList
ParamMatrix
Partition
PartitionFieldStats
PCell
PCovCell
PCovMatrix
PMML
PoissonDistribution
PolynomialKernelType
PPCell
PPMatrix
PredictiveModelQuality
Predictor
PredictorTerm
Quantile
RadialBasisKernelType
RandomLiftGraph
JAXBElement<List<Double>>}
REALSparseArray
Regression
RegressionModel
RegressionTable
ResultField
ROC
ROCGraph
Row
RuleSelectionMethod
RuleSet
RuleSetModel
Scorecard
ScoreDistribution
SeasonalityExpoSmooth
JAXBElement<Object>}
Segment
Segmentation
Sequence
SequenceModel
SequenceReference
SequenceRule
SetPredicate
SetReference
SigmoidKernelType
SimpleMatching
SimplePredicate
SimpleRule
SimpleSetPredicate
JAXBElement<Object>}
SquaredEuclidean
SupportVector
SupportVectorMachine
SupportVectorMachineModel
SupportVectors
TableLocator
Tanimoto
Target
Targets
TargetValue
TargetValueCount
TargetValueCounts
Taxonomy
TestDistributions
TextCorpus
TextDictionary
TextDocument
TextModel
TextModelNormalization
TextModelSimiliarity
Time
TimeAnchor
TimeCycle
TimeException
TimeSeries
TimeSeriesModel
Timestamp
TimeValue
TrainingInstances
TransformationDictionary
TreeModel
TrendExpoSmooth
True
UniformDistribution
UnivariateStats
Value
VectorDictionary
VectorFields
VectorInstance
VerificationField
VerificationFields
XCoordinates
YCoordinates
start immediately with the
FORMAT_SECONDS output format and CPU time if available
start immediately, using
CPU time if available
enumerateRequests method here.
enumerateRequests method here.
enumerateRequests method here.
EOF Symbol index.
EOF Symbol index.
EOF Symbol index.
error Symbol index.
error Symbol index.
error Symbol index.
store is TRUE.
weka/gui/experiment/Experimenter.props.weka/gui/explorer/Explorer.props.readFromXML() of the XMLSerialiation class.
writeToXML() of the XMLSerialiation class.
GenericObjectEditor.props file (= PROPERTY_FILE).insets parameter with this ShadowBorder's
current Insets.
ConfusionMatrix representing the current two-class
statistics, using class names "negative" and "positive".
trim() on the result).
null then all are displayed).
null
then all are displayed).
null.
null if index is out of bounds
showDialog.
getText method here.
getTextTitle method here.
AssociationRules object.
null if not found.
null if not found
null if not found
GraphEvent instance.
TextListener here.IncrementalClassifierEvent instance.
InstanceEvent instance that encapsulates a
single instance only.
InstanceEvent instance which encapsulates header
information only.
readInstance(Reader) method, one should use the
ArffLoader or DataSource class
instead.
Instance to an array of values that matches the
format of the mining schema.
KnowledgeFlowApp instance.
M5P instance.
weka.core.matrix.Matrix instead - only for
backwards compatibility.NormalizedPolyKernel instance.
NumericItem
performRequest method here.
performRequest method here.
performRequest method here.
PolyKernel instance.
PredictionAppender instance.
java.awt.Dialog or from
java.awt.Frame) or, if none available,
using (Frame) null as owner.
readInstance(Reader) method, one should use the
ArffLoader or DataSource class
instead.
reduce_goto table.
reduce_goto table.
reduce_goto table.
RemoteResult instance.
RuleNode instance.
SelectedTag instance.
SelectedTag instance.
PMMLModel object that encapsulates a PMML model
PMMLModel object that encapsulates a PMML model
PMMLModel object that encapsulates a PMML model
setConnections method here.
null means all).
null means all).
setVisual method here.
AssociationRules object to use.
sqrtm in Matlab):Tag simply associates a numeric ID with a String description.Tag instance.
Tag instance.
TestSetEvent
TestSetEvent
TestSetEvent
TextEvent instance.
TrainingSetEvent
TrainingSetEvent
TrainingSetEvent
len bytes from the specified byte array starting at
offset off to this stream.
options from the Experiment, since these are
handled by the get/set-methods.clear(), which
adds initial methods automatically.
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